Triple
T11836090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call of Duty: Ghosts |
E281518
|
entity |
| Predicate | campaignPerspective |
P101766
|
FINISHED |
| Object | first-person |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: first-person | Statement: [Call of Duty: Ghosts, campaignPerspective, first-person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignPerspective Context triple: [Call of Duty: Ghosts, campaignPerspective, first-person]
-
A.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
B.
campaignDirected
Indicates that a campaign is intentionally targeted or directed toward a specific entity or audience.
-
C.
campaignObjectiveContext
Indicates the specific situational or strategic context in which a campaign’s objective is defined or pursued.
-
D.
campaignSpecific
Indicates that something is restricted or tailored to a particular campaign, rather than being general or shared across multiple campaigns.
-
E.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.